SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

Showing 11011150 of 4891 papers

TitleStatusHype
Joint User Association and Bandwidth Assignment for Digital Twin-Assisted Multi-RAT Networks0
HDiffTG: A Lightweight Hybrid Diffusion-Transformer-GCN Architecture for 3D Human Pose EstimationCode0
Learning based convex approximation for constrained parametric optimization0
Comparative Analysis of Lightweight Deep Learning Models for Memory-Constrained Devices0
SAND: One-Shot Feature Selection with Additive Noise Distortion0
Latent Adaptive Planner for Dynamic Manipulation0
MambaStyle: Efficient StyleGAN Inversion for Real Image Editing with State-Space Models0
GNN-enabled Precoding for Massive MIMO LEO Satellite Communications0
A Symbolic and Statistical Learning Framework to Discover Bioprocessing Regulatory Mechanism: Cell Culture Example0
Learning Symbolic Persistent Macro-Actions for POMDP Solving Over Time0
Model Predictive Fuzzy Control: A Hierarchical Multi-Agent Control Architecture for Outdoor Search-and-Rescue Robots0
Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning0
Beyond the model: Key differentiators in large language models and multi-agent services0
Sparse Ellipsoidal Radial Basis Function Network for Point Cloud Surface RepresentationCode0
Less is More: Efficient Weight Farcasting with 1-Layer Neural Network0
Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation0
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification0
Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs0
GauS-SLAM: Dense RGB-D SLAM with Gaussian Surfels0
Integration of Multi-Mode Preference into Home Energy Management System Using Deep Reinforcement Learning0
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation0
Dendritic Computing with Multi-Gate Ferroelectric Field-Effect Transistors0
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging0
LMDepth: Lightweight Mamba-based Monocular Depth Estimation for Real-World Deployment0
Stabilizing Temporal Difference Learning via Implicit Stochastic Recursion0
To Repair or Not to Repair? Investigating the Importance of AB-Cycles for the State-of-the-Art TSP Heuristic EAX0
Do global forecasting models require frequent retraining?0
Safety-Critical Traffic Simulation with Guided Latent Diffusion Model0
Multi-start Optimization Method via Scalarization based on Target Point-based Tchebycheff Distance for Multi-objective Optimization0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled LoadsCode0
Gaussian Process Policy Iteration with Additive Schwarz Acceleration for Forward and Inverse HJB and Mean Field Game Problems0
Kernel Density Machines0
Generative QoE Modeling: A Lightweight Approach for Telecom Networks0
Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead0
Data-driven operator learning for energy-efficient building control0
From Precision to Perception: User-Centred Evaluation of Keyword Extraction Algorithms for Internet-Scale Contextual Advertising0
ArrhythmiaVision: Resource-Conscious Deep Learning Models with Visual Explanations for ECG Arrhythmia Classification0
GDP-GFCF Dynamics Across Global Economies: A Comparative Study of Panel Regressions and Random Forest0
Cognitive maps are generative programs0
DLCM: a versatile multi-level solver for heterogeneous multicellular systems0
A Hybrid Mixture of t-Factor Analyzers for Clustering High-dimensional Data0
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR0
Improving trajectory continuity in drone-based crowd monitoring using a set of minimal-cost techniques and deep discriminative correlation filters0
Fault Detection and Human Intervention in Vehicle Platooning: A Multi-Model Framework0
MLICv2: Enhanced Multi-Reference Entropy Modeling for Learned Image Compression0
Transformer-Empowered Actor-Critic Reinforcement Learning for Sequence-Aware Service Function Chain Partitioning0
Nonconvex Linear System Identification with Minimal State Representation0
Outlier-aware Tensor Robust Principal Component Analysis with Self-guided Data Augmentation0
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation0
PODNO: Proper Orthogonal Decomposition Neural Operators0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified